A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time

• A multi-objective scheduling model of logistics service supply chain is presented.
• Mass customization service and uncertainty of FLSP’s operation time are considered.
• Goal programming method is applied to solve the model hierarchically.
• The impacts of scheduling parameters on the scheduling objectives are provided.

Building on previous research, this paper establishes a new multi-objective program scheduling model of Logistics service supply chain that considers the uncertainty of operation time for functional logistics service providers (FLSPs) in a mass customization service environment. This model aims to minimize total scheduling costs, minimize the difference between the scheduled and actual time of each service process, and maximize the average satisfaction of FLSPs. Considering the differences in target priority, the goal programming method is applied to solve the model hierarchically. In addition, the effects of scheduling parameters on scheduling objectives are provided after numerical analysis.